Bibliographic record
Abstract
Monica Heller, linguiste et anthropologue canadienne, pose dans ce volume les bases de la sociolinguistique critique comme cadre théorique et comme méthode de recherche, par le biais d’une ethnographie de longue durée, des années 1970 au début du XXIe siècle, sur l’évolution des discours, des pratiques et des idéologies du Canada francophone. Comment expérimenter une sociolinguistique qui met au centre de ses interrogations le rôle des pratiques et des idéologies langagières dans la construction de la différence et de l’inégalité sociales ? Originellement publié en 2003, cet ouvrage, dont nous proposons ici une nouvelle édition, a ouvert tout un champ de recherche et s’est imposé comme une référence essentielle et un outil incontournable dans la formation en sociolinguistique. Cette deuxième édition ajoute au texte original plusieurs éléments d’actualisation sur les terrains étudiés mais aussi sur le plan théorique, méthodologique, politique et déontologique.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.008 | 0.046 |
| Scholarly communication | 0.014 | 0.010 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".